出版社：International Institute for Science, Technology Education
摘要：This paper propose an enhanced E-Learning Social Network Exploiting Approach focused around chart model and clustering algorithm, which can consequently gathering dispersed e-learners with comparative premiums and make fitting suggestions, which can at last upgrade the collective learning among comparable e-learners. Through closeness revelation, trust weights overhaul and potential companions change, the algorithm actualized a programmed adjusted trust association with progressively upgraded fulfillments.
关键词：Relations; Adaptive E-Learning; Clustering ; Social Network ; E-learning ; and Collaborative Learning
